Job Description

Role : Google Cloud Architect \xe2\x80\x93 Data & Analytics
Experience: 11+ years
Location: Hyderabad


Technovert is not a typical IT services firm. We have to credit two of our successful products generating $15M+ in licensing/SaaS revenues which is rare in the industry.
We are obsessed with our love for technology and the infinite possibilities it can create for making this world a better place. Our clients find us at our best when we are challenged with their toughest of the problems and we love chasing the problems. It thrills us and motivates us to deliver more. Our global delivery model has earned the trust and reputation of being a partner of choice.


Position Overview:


As a Google Cloud Platform (GCP) Data and Analytics Architect, you will be responsible for designing, implementing, and managing data and analytics solutions on the Google Cloud platform. You will collaborate with cross-functional teams to understand business requirements, translate them into technical solutions, and lead the implementation process. Your expertise in GCP services, data engineering, data warehousing, and analytics tools will drive the success of data-driven initiatives within the organization


Key Responsibilities:
Solution Design:

• Collaborate with business stakeholders to understand data and analytics requirements.
• Design end-to-end data architectures and analytics solutions on GCP to meet business objectives.
• Choose appropriate GCP services and tools for data processing, storage, and analysis.
• Ensure scalability, security, and performance of the solutions.

• Architect data pipelines to ingest, process, and transform data from various sources into GCP.
• Implement ETL (Extract, Transform, Load) processes using GCP services like Dataflow, Dataproc, and Cloud Composer.
• Integrate third-party tools and APIs as needed.

• Design and implement data warehousing solutions using BigQuery for efficient data storage and retrieval.
• Optimize data storage and partitioning strategies to ensure cost-effectiveness and query performance.
• Implement data governance and security measures for data at rest.

• Develop strategies for real-time and batch analytics using tools like Data Studio, Looker, and custom dashboards.
• Enable advanced analytics, machine learning, and predictive modeling on GCP using services like AI Platform and Big Query ML.

• Monitor and tune data pipelines and analytics solutions for optimal performance.
• Identify and resolve bottlenecks and issues related to data processing and query performance.
• Implement automation and DevOps practices to streamline deployment and monitoring.

• Work closely with cross-functional teams including data scientists, engineers, and business stakeholders.
• Provide technical leadership, mentorship, and guidance to junior team members.
• Stay updated with industry trends, GCP updates, and emerging technologies in data and analytics.

• Create documentation for architecture, design decisions, and best practices.
• Conduct training sessions to educate teams on GCP data and analytics technologies.

• Bachelor\'s or Master\'s degree in Computer Science, Information Technology, or related field.
• Proven experience as a Data Engineer, Cloud Architect, or similar role with a focus on GCP.
• Overall 12+ years of experience
• Strong expertise in GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, etc.
• Proficiency in designing and optimizing data models, data storage, and data pipelines.
• Experience with data warehousing concepts and techniques.
• Familiarity with data analytics and visualization tools.
• Knowledge of programming languages such as Python, SQL, Java, or similar.
• Strong problem-solving skills and the ability to troubleshoot complex data issues.
• Excellent communication and collaboration skills.
• GCP certifications (e.g., Professional Data Engineer, Professional Cloud Architect) are a plus.